Data Engineer (M/F)

About the role

DGTL / Signe + is the facilitator for all stakeholders looking for DATA resources or missions. Specialist in the Data and BI market, we operate throughout France and abroad; in subcontracting, pre-hiring, recruitment, commercial umbrella, wage portage, etc. Since 2018, we have been supporting our clients with proximity, fair pricing, and constant ethical concern. https://www.dgtl-performance.com The position: You will join a major player in the banking sector to participate in the design and implementation of a comprehensive data management and valuation strategy. In a hybrid environment combining On Premise and Cloud infrastructure, you will steer the various stages of the data lifecycle: ingestion, transformation, optimization, and provision for the analytical needs of internal and external clients. This mission is part of a context of technological modernization and reinforced compliance, where data quality, security, and governance are critical issues. You will work within a multidisciplinary team (Data Engineers, Data Analysts, Data Scientists) using Agile methodology, relying on the best practices of the sector. Responsibilities: - Design, develop, and maintain robust, scalable, and high-performance data flows, capable of processing large volumes and heterogeneous sources - Ensure the ingestion, transformation, and optimization of data according to current quality and security standards - Implement and administer data architectures: Data Lake, Data Warehouse, and Datamarts, optimizing performance and maintainability - Model data to meet specific analytical needs and regulatory requirements of the sector - Collaborate closely with Data Analysts and business teams to translate functional needs into adapted technical solutions - Contribute to the design of dashboards and dataviz tools by ensuring the reliability and relevance of the underlying data - Manage assigned projects independently, from the design phase to production and support - Implement and document best practices regarding governance, quality, security, and industrialization of processes - Ensure the RUN of processes and models in production, manage evolutions, and optimize performance - Develop and test prototypes based on Machine Learning algorithms to exploit predictive models - Conduct active technological monitoring and propose architectural evolutions aligned with the organization's data strategy Remote work: 2 days per week Location: Guyancourt Desired profile: Essential: - Confirmed experience (minimum 4 to 5 years) in Data Engineering or related field - Mastery of ETL/ELT processes: ingestion, transformation, cleaning, and data optimization - Solid knowledge of data architectures: Data Lake, Data Warehouse, Datamarts - Experience with mixed infrastructure environments (On Premise and Cloud) - Mastery of at least one big data or data processing tool (Spark, Hadoop, Kafka, or similar) - Competence in relational and dimensional data modeling - Proven knowledge of data governance, quality, and security standards - Autonomy, ability to manage projects with full responsibility, and to work in a multidisciplinary team - Very good communication and ability to document technical solutions - Fluent technical English (reading/writing documentation) Highly appreciated: - Experience in Cloud environment (AWS, Azure, or GCP) - Knowledge of NoSQL databases and analysis technologies (Elasticsearch, MongoDB, etc.) - Familiarity with orchestration and workflow tools (Airflow, Luigi, or equivalent) - Experience in Machine Learning or data science and understanding of predictive algorithms - Expertise in dataviz and BI tools (Power BI, Tableau, Looker) - Practice of Agile/Scrum methodology - Knowledge of cybersecurity and regulatory compliance (notably banking sector) - Experience with versioning and continuous integration tools (Git, CI/CD) - Ability to innovate and propose new architectural solutions Remuneration: to be negotiated.